Search alternatives:
structure optimization » structural optimization (Expand Search), structure determination (Expand Search)
based structure » band structure (Expand Search), age structure (Expand Search), layered structure (Expand Search)
a optimization » ai optimization (Expand Search), _ optimization (Expand Search), b optimization (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
image a » image 1_a (Expand Search), damage a (Expand Search)
structure optimization » structural optimization (Expand Search), structure determination (Expand Search)
based structure » band structure (Expand Search), age structure (Expand Search), layered structure (Expand Search)
a optimization » ai optimization (Expand Search), _ optimization (Expand Search), b optimization (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
image a » image 1_a (Expand Search), damage a (Expand Search)
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A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…To address this, the research integrates a modified A* pathfinding algorithm with a U-Net convolutional neural network, a custom statistical binary classification method, and a personalized Min-Max connectivity threshold to automate the detection of astrocyte connectivity.…”
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ROC curve for binary classification.
Published 2024“…<div><p>This study aims to develop an optimally performing convolutional neural network to classify Alzheimer’s disease into mild cognitive impairment, normal controls, or Alzheimer’s disease classes using a magnetic resonance imaging dataset. …”
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Confusion matrix for binary classification.
Published 2024“…<div><p>This study aims to develop an optimally performing convolutional neural network to classify Alzheimer’s disease into mild cognitive impairment, normal controls, or Alzheimer’s disease classes using a magnetic resonance imaging dataset. …”
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The flow of the SP-DRL algorithm.
Published 2023“…A model-free reinforcement learning algorithm is designed to train network parameters to optimize the packing sequence. …”
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Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
Published 2025“…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …”
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The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization
Published 2020“…This is particularly useful in the area of Absorption, Distribution, Metabolism, and Elimination (ADME) analysis that is less influenced by 3D structural binding effects. …”
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The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization
Published 2020“…This is particularly useful in the area of Absorption, Distribution, Metabolism, and Elimination (ADME) analysis that is less influenced by 3D structural binding effects. …”
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